文章基本信息

标题：Study on Situation Inference on Abnormal Situation with No Advance Information
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作者：Dong-Hyeok Seoh ; Sung-Gil Kim
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2016
卷号：10
期号：1
页码：179-190
DOI：10.14257/ijseia.2016.10.1.17
出版社：SERSC
摘要：For the situation inference in the internet of the things environment, this research suggests a method to utilize relations between various events that compose data stream. Connecting various events in respect of mutual correlation and connectivity of various events can provide good clue for situation inference. To divide and connect various events in respect of mutual correlation and connectivity can be solved with the method to add identification characteristic value or position value, etc. on the event value reported from the sensor and adding them. When giving the identification value, in case of providing estimation on correlation and connectivity between the procedure that divides each event based on identification value and the sensors, efficient situation inference is possible. This research showed that various events from various sensors could be divided each other based on correlation and connectivity on the event and practice situation inference by using this.
关键词：Internet of the things; Situational awareness; Situation inference; Signal ; analysis